Machine Learning Engineer / MLOps (Python, Cloud, Data) – Híbrido - CDMX
Orion Innovationabout 4 hours ago
Mexico City, MexicoMid Level / Senior
H1B Sponsor
Responsibilities
- Build and maintain machine learning pipelines.
- Implement CI/CD processes for models.
- Deploy models in production environments.
- Integrate models into APIs and services.
- Monitor model performance, drift, and versioning.
- Collaborate with Data Science and Data Engineering teams.
Requirements
- 3+ years in data or machine learning roles.
- Experience with Python and SQL.
- Experience working with data or ML pipelines (Airflow, Spark).
- Knowledge of ML Ops tools (MLflow, DVC, Kubeflow or similar).
- Experience in cloud environments (AWS or GCP).
- Knowledge of Docker and Kubernetes (desirable).
- Experience in CI/CD processes.
Benefits
- Legal and superior benefits.
- Exposure to multicultural teams and projects.
- Professional development in advanced analytics.
Tech Stack
Amazon RedshiftApache AirflowApache SparkAWSDockerDVCGitGoogle BigQueryGoogle Cloud PlatformKubernetesMLflowPythonSnowflakeSQL